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Commit 37c8cebc authored by Sugon_ldc's avatar Sugon_ldc
Browse files

add new model

parents
Pipeline #318 failed with stages
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dataset_info = dict(
dataset_name='deepfashion_lower',
paper_info=dict(
author='Liu, Ziwei and Luo, Ping and Qiu, Shi '
'and Wang, Xiaogang and Tang, Xiaoou',
title='DeepFashion: Powering Robust Clothes Recognition '
'and Retrieval with Rich Annotations',
container='Proceedings of IEEE Conference on Computer '
'Vision and Pattern Recognition (CVPR)',
year='2016',
homepage='http://mmlab.ie.cuhk.edu.hk/projects/'
'DeepFashion/LandmarkDetection.html',
),
keypoint_info={
0:
dict(
name='left waistline',
id=0,
color=[255, 255, 255],
type='',
swap='right waistline'),
1:
dict(
name='right waistline',
id=1,
color=[255, 255, 255],
type='',
swap='left waistline'),
2:
dict(
name='left hem',
id=2,
color=[255, 255, 255],
type='',
swap='right hem'),
3:
dict(
name='right hem',
id=3,
color=[255, 255, 255],
type='',
swap='left hem'),
},
skeleton_info={},
joint_weights=[1.] * 4,
sigmas=[])
dataset_info = dict(
dataset_name='deepfashion_upper',
paper_info=dict(
author='Liu, Ziwei and Luo, Ping and Qiu, Shi '
'and Wang, Xiaogang and Tang, Xiaoou',
title='DeepFashion: Powering Robust Clothes Recognition '
'and Retrieval with Rich Annotations',
container='Proceedings of IEEE Conference on Computer '
'Vision and Pattern Recognition (CVPR)',
year='2016',
homepage='http://mmlab.ie.cuhk.edu.hk/projects/'
'DeepFashion/LandmarkDetection.html',
),
keypoint_info={
0:
dict(
name='left collar',
id=0,
color=[255, 255, 255],
type='',
swap='right collar'),
1:
dict(
name='right collar',
id=1,
color=[255, 255, 255],
type='',
swap='left collar'),
2:
dict(
name='left sleeve',
id=2,
color=[255, 255, 255],
type='',
swap='right sleeve'),
3:
dict(
name='right sleeve',
id=3,
color=[255, 255, 255],
type='',
swap='left sleeve'),
4:
dict(
name='left hem',
id=4,
color=[255, 255, 255],
type='',
swap='right hem'),
5:
dict(
name='right hem',
id=5,
color=[255, 255, 255],
type='',
swap='left hem'),
},
skeleton_info={},
joint_weights=[1.] * 6,
sigmas=[])
dataset_info = dict(
dataset_name='fly',
paper_info=dict(
author='Pereira, Talmo D and Aldarondo, Diego E and '
'Willmore, Lindsay and Kislin, Mikhail and '
'Wang, Samuel S-H and Murthy, Mala and Shaevitz, Joshua W',
title='Fast animal pose estimation using deep neural networks',
container='Nature methods',
year='2019',
homepage='https://github.com/jgraving/DeepPoseKit-Data',
),
keypoint_info={
0:
dict(name='head', id=0, color=[255, 255, 255], type='', swap=''),
1:
dict(name='eyeL', id=1, color=[255, 255, 255], type='', swap='eyeR'),
2:
dict(name='eyeR', id=2, color=[255, 255, 255], type='', swap='eyeL'),
3:
dict(name='neck', id=3, color=[255, 255, 255], type='', swap=''),
4:
dict(name='thorax', id=4, color=[255, 255, 255], type='', swap=''),
5:
dict(name='abdomen', id=5, color=[255, 255, 255], type='', swap=''),
6:
dict(
name='forelegR1',
id=6,
color=[255, 255, 255],
type='',
swap='forelegL1'),
7:
dict(
name='forelegR2',
id=7,
color=[255, 255, 255],
type='',
swap='forelegL2'),
8:
dict(
name='forelegR3',
id=8,
color=[255, 255, 255],
type='',
swap='forelegL3'),
9:
dict(
name='forelegR4',
id=9,
color=[255, 255, 255],
type='',
swap='forelegL4'),
10:
dict(
name='midlegR1',
id=10,
color=[255, 255, 255],
type='',
swap='midlegL1'),
11:
dict(
name='midlegR2',
id=11,
color=[255, 255, 255],
type='',
swap='midlegL2'),
12:
dict(
name='midlegR3',
id=12,
color=[255, 255, 255],
type='',
swap='midlegL3'),
13:
dict(
name='midlegR4',
id=13,
color=[255, 255, 255],
type='',
swap='midlegL4'),
14:
dict(
name='hindlegR1',
id=14,
color=[255, 255, 255],
type='',
swap='hindlegL1'),
15:
dict(
name='hindlegR2',
id=15,
color=[255, 255, 255],
type='',
swap='hindlegL2'),
16:
dict(
name='hindlegR3',
id=16,
color=[255, 255, 255],
type='',
swap='hindlegL3'),
17:
dict(
name='hindlegR4',
id=17,
color=[255, 255, 255],
type='',
swap='hindlegL4'),
18:
dict(
name='forelegL1',
id=18,
color=[255, 255, 255],
type='',
swap='forelegR1'),
19:
dict(
name='forelegL2',
id=19,
color=[255, 255, 255],
type='',
swap='forelegR2'),
20:
dict(
name='forelegL3',
id=20,
color=[255, 255, 255],
type='',
swap='forelegR3'),
21:
dict(
name='forelegL4',
id=21,
color=[255, 255, 255],
type='',
swap='forelegR4'),
22:
dict(
name='midlegL1',
id=22,
color=[255, 255, 255],
type='',
swap='midlegR1'),
23:
dict(
name='midlegL2',
id=23,
color=[255, 255, 255],
type='',
swap='midlegR2'),
24:
dict(
name='midlegL3',
id=24,
color=[255, 255, 255],
type='',
swap='midlegR3'),
25:
dict(
name='midlegL4',
id=25,
color=[255, 255, 255],
type='',
swap='midlegR4'),
26:
dict(
name='hindlegL1',
id=26,
color=[255, 255, 255],
type='',
swap='hindlegR1'),
27:
dict(
name='hindlegL2',
id=27,
color=[255, 255, 255],
type='',
swap='hindlegR2'),
28:
dict(
name='hindlegL3',
id=28,
color=[255, 255, 255],
type='',
swap='hindlegR3'),
29:
dict(
name='hindlegL4',
id=29,
color=[255, 255, 255],
type='',
swap='hindlegR4'),
30:
dict(
name='wingL', id=30, color=[255, 255, 255], type='', swap='wingR'),
31:
dict(
name='wingR', id=31, color=[255, 255, 255], type='', swap='wingL'),
},
skeleton_info={
0: dict(link=('eyeL', 'head'), id=0, color=[255, 255, 255]),
1: dict(link=('eyeR', 'head'), id=1, color=[255, 255, 255]),
2: dict(link=('neck', 'head'), id=2, color=[255, 255, 255]),
3: dict(link=('thorax', 'neck'), id=3, color=[255, 255, 255]),
4: dict(link=('abdomen', 'thorax'), id=4, color=[255, 255, 255]),
5: dict(link=('forelegR2', 'forelegR1'), id=5, color=[255, 255, 255]),
6: dict(link=('forelegR3', 'forelegR2'), id=6, color=[255, 255, 255]),
7: dict(link=('forelegR4', 'forelegR3'), id=7, color=[255, 255, 255]),
8: dict(link=('midlegR2', 'midlegR1'), id=8, color=[255, 255, 255]),
9: dict(link=('midlegR3', 'midlegR2'), id=9, color=[255, 255, 255]),
10: dict(link=('midlegR4', 'midlegR3'), id=10, color=[255, 255, 255]),
11:
dict(link=('hindlegR2', 'hindlegR1'), id=11, color=[255, 255, 255]),
12:
dict(link=('hindlegR3', 'hindlegR2'), id=12, color=[255, 255, 255]),
13:
dict(link=('hindlegR4', 'hindlegR3'), id=13, color=[255, 255, 255]),
14:
dict(link=('forelegL2', 'forelegL1'), id=14, color=[255, 255, 255]),
15:
dict(link=('forelegL3', 'forelegL2'), id=15, color=[255, 255, 255]),
16:
dict(link=('forelegL4', 'forelegL3'), id=16, color=[255, 255, 255]),
17: dict(link=('midlegL2', 'midlegL1'), id=17, color=[255, 255, 255]),
18: dict(link=('midlegL3', 'midlegL2'), id=18, color=[255, 255, 255]),
19: dict(link=('midlegL4', 'midlegL3'), id=19, color=[255, 255, 255]),
20:
dict(link=('hindlegL2', 'hindlegL1'), id=20, color=[255, 255, 255]),
21:
dict(link=('hindlegL3', 'hindlegL2'), id=21, color=[255, 255, 255]),
22:
dict(link=('hindlegL4', 'hindlegL3'), id=22, color=[255, 255, 255]),
23: dict(link=('wingL', 'neck'), id=23, color=[255, 255, 255]),
24: dict(link=('wingR', 'neck'), id=24, color=[255, 255, 255])
},
joint_weights=[1.] * 32,
sigmas=[])
dataset_info = dict(
dataset_name='freihand',
paper_info=dict(
author='Zimmermann, Christian and Ceylan, Duygu and '
'Yang, Jimei and Russell, Bryan and '
'Argus, Max and Brox, Thomas',
title='Freihand: A dataset for markerless capture of hand pose '
'and shape from single rgb images',
container='Proceedings of the IEEE International '
'Conference on Computer Vision',
year='2019',
homepage='https://lmb.informatik.uni-freiburg.de/projects/freihand/',
),
keypoint_info={
0:
dict(name='wrist', id=0, color=[255, 255, 255], type='', swap=''),
1:
dict(name='thumb1', id=1, color=[255, 128, 0], type='', swap=''),
2:
dict(name='thumb2', id=2, color=[255, 128, 0], type='', swap=''),
3:
dict(name='thumb3', id=3, color=[255, 128, 0], type='', swap=''),
4:
dict(name='thumb4', id=4, color=[255, 128, 0], type='', swap=''),
5:
dict(
name='forefinger1', id=5, color=[255, 153, 255], type='', swap=''),
6:
dict(
name='forefinger2', id=6, color=[255, 153, 255], type='', swap=''),
7:
dict(
name='forefinger3', id=7, color=[255, 153, 255], type='', swap=''),
8:
dict(
name='forefinger4', id=8, color=[255, 153, 255], type='', swap=''),
9:
dict(
name='middle_finger1',
id=9,
color=[102, 178, 255],
type='',
swap=''),
10:
dict(
name='middle_finger2',
id=10,
color=[102, 178, 255],
type='',
swap=''),
11:
dict(
name='middle_finger3',
id=11,
color=[102, 178, 255],
type='',
swap=''),
12:
dict(
name='middle_finger4',
id=12,
color=[102, 178, 255],
type='',
swap=''),
13:
dict(
name='ring_finger1', id=13, color=[255, 51, 51], type='', swap=''),
14:
dict(
name='ring_finger2', id=14, color=[255, 51, 51], type='', swap=''),
15:
dict(
name='ring_finger3', id=15, color=[255, 51, 51], type='', swap=''),
16:
dict(
name='ring_finger4', id=16, color=[255, 51, 51], type='', swap=''),
17:
dict(name='pinky_finger1', id=17, color=[0, 255, 0], type='', swap=''),
18:
dict(name='pinky_finger2', id=18, color=[0, 255, 0], type='', swap=''),
19:
dict(name='pinky_finger3', id=19, color=[0, 255, 0], type='', swap=''),
20:
dict(name='pinky_finger4', id=20, color=[0, 255, 0], type='', swap='')
},
skeleton_info={
0:
dict(link=('wrist', 'thumb1'), id=0, color=[255, 128, 0]),
1:
dict(link=('thumb1', 'thumb2'), id=1, color=[255, 128, 0]),
2:
dict(link=('thumb2', 'thumb3'), id=2, color=[255, 128, 0]),
3:
dict(link=('thumb3', 'thumb4'), id=3, color=[255, 128, 0]),
4:
dict(link=('wrist', 'forefinger1'), id=4, color=[255, 153, 255]),
5:
dict(link=('forefinger1', 'forefinger2'), id=5, color=[255, 153, 255]),
6:
dict(link=('forefinger2', 'forefinger3'), id=6, color=[255, 153, 255]),
7:
dict(link=('forefinger3', 'forefinger4'), id=7, color=[255, 153, 255]),
8:
dict(link=('wrist', 'middle_finger1'), id=8, color=[102, 178, 255]),
9:
dict(
link=('middle_finger1', 'middle_finger2'),
id=9,
color=[102, 178, 255]),
10:
dict(
link=('middle_finger2', 'middle_finger3'),
id=10,
color=[102, 178, 255]),
11:
dict(
link=('middle_finger3', 'middle_finger4'),
id=11,
color=[102, 178, 255]),
12:
dict(link=('wrist', 'ring_finger1'), id=12, color=[255, 51, 51]),
13:
dict(
link=('ring_finger1', 'ring_finger2'), id=13, color=[255, 51, 51]),
14:
dict(
link=('ring_finger2', 'ring_finger3'), id=14, color=[255, 51, 51]),
15:
dict(
link=('ring_finger3', 'ring_finger4'), id=15, color=[255, 51, 51]),
16:
dict(link=('wrist', 'pinky_finger1'), id=16, color=[0, 255, 0]),
17:
dict(
link=('pinky_finger1', 'pinky_finger2'), id=17, color=[0, 255, 0]),
18:
dict(
link=('pinky_finger2', 'pinky_finger3'), id=18, color=[0, 255, 0]),
19:
dict(
link=('pinky_finger3', 'pinky_finger4'), id=19, color=[0, 255, 0])
},
joint_weights=[1.] * 21,
sigmas=[])
dataset_info = dict(
dataset_name='h36m',
paper_info=dict(
author='Ionescu, Catalin and Papava, Dragos and '
'Olaru, Vlad and Sminchisescu, Cristian',
title='Human3.6M: Large Scale Datasets and Predictive '
'Methods for 3D Human Sensing in Natural Environments',
container='IEEE Transactions on Pattern Analysis and '
'Machine Intelligence',
year='2014',
homepage='http://vision.imar.ro/human3.6m/description.php',
),
keypoint_info={
0:
dict(name='root', id=0, color=[51, 153, 255], type='lower', swap=''),
1:
dict(
name='right_hip',
id=1,
color=[255, 128, 0],
type='lower',
swap='left_hip'),
2:
dict(
name='right_knee',
id=2,
color=[255, 128, 0],
type='lower',
swap='left_knee'),
3:
dict(
name='right_foot',
id=3,
color=[255, 128, 0],
type='lower',
swap='left_foot'),
4:
dict(
name='left_hip',
id=4,
color=[0, 255, 0],
type='lower',
swap='right_hip'),
5:
dict(
name='left_knee',
id=5,
color=[0, 255, 0],
type='lower',
swap='right_knee'),
6:
dict(
name='left_foot',
id=6,
color=[0, 255, 0],
type='lower',
swap='right_foot'),
7:
dict(name='spine', id=7, color=[51, 153, 255], type='upper', swap=''),
8:
dict(name='thorax', id=8, color=[51, 153, 255], type='upper', swap=''),
9:
dict(
name='neck_base',
id=9,
color=[51, 153, 255],
type='upper',
swap=''),
10:
dict(name='head', id=10, color=[51, 153, 255], type='upper', swap=''),
11:
dict(
name='left_shoulder',
id=11,
color=[0, 255, 0],
type='upper',
swap='right_shoulder'),
12:
dict(
name='left_elbow',
id=12,
color=[0, 255, 0],
type='upper',
swap='right_elbow'),
13:
dict(
name='left_wrist',
id=13,
color=[0, 255, 0],
type='upper',
swap='right_wrist'),
14:
dict(
name='right_shoulder',
id=14,
color=[255, 128, 0],
type='upper',
swap='left_shoulder'),
15:
dict(
name='right_elbow',
id=15,
color=[255, 128, 0],
type='upper',
swap='left_elbow'),
16:
dict(
name='right_wrist',
id=16,
color=[255, 128, 0],
type='upper',
swap='left_wrist')
},
skeleton_info={
0:
dict(link=('root', 'left_hip'), id=0, color=[0, 255, 0]),
1:
dict(link=('left_hip', 'left_knee'), id=1, color=[0, 255, 0]),
2:
dict(link=('left_knee', 'left_foot'), id=2, color=[0, 255, 0]),
3:
dict(link=('root', 'right_hip'), id=3, color=[255, 128, 0]),
4:
dict(link=('right_hip', 'right_knee'), id=4, color=[255, 128, 0]),
5:
dict(link=('right_knee', 'right_foot'), id=5, color=[255, 128, 0]),
6:
dict(link=('root', 'spine'), id=6, color=[51, 153, 255]),
7:
dict(link=('spine', 'thorax'), id=7, color=[51, 153, 255]),
8:
dict(link=('thorax', 'neck_base'), id=8, color=[51, 153, 255]),
9:
dict(link=('neck_base', 'head'), id=9, color=[51, 153, 255]),
10:
dict(link=('thorax', 'left_shoulder'), id=10, color=[0, 255, 0]),
11:
dict(link=('left_shoulder', 'left_elbow'), id=11, color=[0, 255, 0]),
12:
dict(link=('left_elbow', 'left_wrist'), id=12, color=[0, 255, 0]),
13:
dict(link=('thorax', 'right_shoulder'), id=13, color=[255, 128, 0]),
14:
dict(
link=('right_shoulder', 'right_elbow'), id=14, color=[255, 128,
0]),
15:
dict(link=('right_elbow', 'right_wrist'), id=15, color=[255, 128, 0])
},
joint_weights=[1.] * 17,
sigmas=[],
stats_info=dict(bbox_center=(528., 427.), bbox_scale=400.))
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